BeginnerAnalysis~5 min
Entity Extractor
Extract all named entities from a news headline — categorised by type — with zero hallucinations.
Skills Tested
Named entity recognitionJSON outputSchema adherence
Challenge Prompt
This is the example prompt structure. Write your own variation below.
Extract all named entities from this headline: "Apple and Samsung agree £2.4bn licensing deal as EU competition chief visits Seoul." Output as a JSON object with keys: PERSON, ORGANISATION, LOCATION, MONETARY_VALUE, EVENT. Each key maps to an array of strings. If none found for a type, output an empty array. Output valid JSON only — no prose.
Your Prompt
Write your own version. Every word matters — be specific.
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Reward
+50 GeraCoins
Earn GeraCoins for completing this challenge. Redeem across all Gera products.
Hints (3)
- 1"Valid JSON only — no prose" eliminates explanatory text that breaks JSON parsers.
- 2Specifying all 5 entity types prevents the AI from inventing new categories.
- 3Empty arrays for unfound types create a consistent schema downstream.
Related Topics
entity extractionNERJSON outputnews headlinestructured data
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